Literature DB >> 15983323

Effect of hepatic lipase -514C->T polymorphism and its interactions with apolipoprotein C3 -482C->T and apolipoprotein E exon 4 polymorphisms on the risk of nephropathy in chinese type 2 diabetic patients.

Larry Baum1, Maggie C Y Ng, Wing-Yee So, Vincent K L Lam, Ying Wang, Emily Poon, Brian Tomlinson, Suzanne Cheng, Klaus Lindpaintner, Juliana C N Chan.   

Abstract

OBJECTIVE: Triglyceride-rich lipoprotein particles may promote the progression of diabetic nephropathy. Patients with diabetic nephropathy have increased plasma triglycerides and reduced activity of hepatic lipase (HL), which hydrolyzes triglycerides. We hypothesized that the HL -514C-->T polymorphism, which reduces HL expression, and its interactions with polymorphisms in apolipoprotein (apo) E and apoC3 increase the risk of diabetic nephropathy. RESEARCH DESIGN AND METHODS: In a case-control study involving 374 Chinese type 2 diabetic patients with and 392 without diabetic nephropathy, we genotyped the HL -514C-->T, apoE exon 4, and apoC3 -482C-->T polymorphisms.
RESULTS: HL -514T-containing genotypes (T+) were associated with diabetic nephropathy (OR = 1.7, P = 0.0009). Adjustment by multiple logistic regression for hypertension, triglycerides, sex, non-HDL cholesterol, BMI, smoking, and alcohol intake did not diminish the association (OR = 1.8, P = 0.003). The association between HL T+ genotypes and diabetic nephropathy appeared stronger in diabetic patients with apoC3 -482 non-TT genotypes (OR = 1.9, P = 0.003) or apoE epsilon2 or epsilon4 alleles (OR = 2.2, P = 0.005). Subjects with HL TT exhibited trends toward increased triglyceride and non-HDL cholesterol levels compared with CC carriers.
CONCLUSIONS: HL T+ genotypes might increase the risk of developing diabetic nephropathy by slowing clearance of triglyceride-rich remnant lipoproteins. In concert with other risk factors (e.g., hyperglycemia), lipid abnormalities may damage the kidneys and endothelium, where reduced binding sites for lipases may precipitate a vicious cycle of dyslipidemia, proteinuria, and nephropathy.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15983323     DOI: 10.2337/diacare.28.7.1704

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  7 in total

Review 1.  Smoking as a risk factor for diabetic nephropathy: a meta-analysis.

Authors:  Sensen Su; Wanning Wang; Tao Sun; Fuzhe Ma; Yue Wang; Jia Li; Zhonggao Xu
Journal:  Int Urol Nephrol       Date:  2017-06-19       Impact factor: 2.370

Review 2.  Diabetes and its comorbidities--where East meets West.

Authors:  Alice P S Kong; Gang Xu; Nicola Brown; Wing-Yee So; Ronald C W Ma; Juliana C N Chan
Journal:  Nat Rev Endocrinol       Date:  2013-05-28       Impact factor: 43.330

3.  Phenotype-genotype interactions on renal function in type 2 diabetes: an analysis using structural equation modelling.

Authors:  X Y Song; S Y Lee; R C W Ma; W Y So; J H Cai; C Tam; V Lam; W Ying; M C Y Ng; J C N Chan
Journal:  Diabetologia       Date:  2009-05-29       Impact factor: 10.122

4.  The relationship of the apolipoprotein E gene polymorphism Turkish Type 2 diabetic patients with and without nephropathy.

Authors:  M Erdogan; Z Eroglu; C Biray; M Karadeniz; S Cetinkalp; B Kosova; C Gunduz; N Topcuoglu; G Ozgen; C Yilmaz
Journal:  J Endocrinol Invest       Date:  2009-03       Impact factor: 4.256

5.  The Complexity of Vascular and Non-Vascular Complications of Diabetes: The Hong Kong Diabetes Registry.

Authors:  Juliana C N Chan; Wingyee So; Ronald C W Ma; Peter C Y Tong; Rebecca Wong; Xilin Yang
Journal:  Curr Cardiovasc Risk Rep       Date:  2011-04-12

6.  Apolipoprotein C3 genetic polymorphisms are associated with lipids and coronary artery disease in a Chinese population.

Authors:  FengHe Cui; KeZhong Li; YunFeng Li; XueWu Zhang; ChangShan An
Journal:  Lipids Health Dis       Date:  2014-11-08       Impact factor: 3.876

7.  Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case-control cohort analysis.

Authors:  Ross K K Leung; Ying Wang; Ronald C W Ma; Andrea O Y Luk; Vincent Lam; Maggie Ng; Wing Yee So; Stephen K W Tsui; Juliana C N Chan
Journal:  BMC Nephrol       Date:  2013-07-23       Impact factor: 2.388

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.